te::cl::MAP::Parameters Class Reference

Classifier Parameters. More...

#include <MAP.h>

Inheritance diagram for te::cl::MAP::Parameters:

Public Member Functions
AbstractParameters *	clone () const
	Create a clone copy of this instance. More...
const Parameters &	operator= (const Parameters &params)
	Parameters ()
void	reset () throw (te::cl::Exception)
	Clear all internal allocated resources and reset the parameters instance to its initial state. More...
	~Parameters ()

Public Attributes
unsigned int	m_prioriCalcSampleStep
	A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);. More...
std::vector< double >	m_prioriProbs
	Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities). More...

Detailed Description

Classifier Parameters.

Definition at line 62 of file MAP.h.

Constructor & Destructor Documentation

te::cl::MAP::Parameters::Parameters

(

)

Definition at line 36 of file MAP.cpp.

References reset(), and ~Parameters().

te::cl::MAP::Parameters::~Parameters ( )

default

Referenced by Parameters().

Member Function Documentation

te::common::AbstractParameters * te::cl::MAP::Parameters::clone ( ) const

virtual

Create a clone copy of this instance.

Returns

A clone copy of this instance.

Note

The caller will take the ownership of the returned pointer.

Implements te::common::AbstractParameters.

Definition at line 60 of file MAP.cpp.

const MAP::Parameters & te::cl::MAP::Parameters::operator=

(

const Parameters &

params

)

Definition at line 43 of file MAP.cpp.

References m_prioriCalcSampleStep, m_prioriProbs, and reset().

void te::cl::MAP::Parameters::reset ( ) throw ( te::cl::Exception )

virtual

Clear all internal allocated resources and reset the parameters instance to its initial state.

Implements te::common::AbstractParameters.

Definition at line 54 of file MAP.cpp.

References m_prioriCalcSampleStep, and m_prioriProbs.

Referenced by te::cl::MAP::initialize(), te::cl::MAP::MAP(), operator=(), Parameters(), and te::cl::MAP::reset().

Member Data Documentation

unsigned int te::cl::MAP::Parameters::m_prioriCalcSampleStep

A positive non-zero sample step used when calculating piori probabilities (default:5 - 1/5 of samples will be used);.

Definition at line 67 of file MAP.h.

Referenced by te::cl::MAP::getPrioriProbabilities(), te::rp::ClassifierMAPStrategy::initialize(), operator=(), and reset().

std::vector< double > te::cl::MAP::Parameters::m_prioriProbs

Priori probabilities, one for each class. Values from 0 to 1 (use an empty vector to allow internal calcule of priori probabilities).

Definition at line 66 of file MAP.h.

Referenced by te::cl::MAP::classify(), te::rp::ClassifierMAPStrategy::initialize(), operator=(), reset(), and te::cl::MAP::train().

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The documentation for this class was generated from the following files:

• MAP.h
• MAP.cpp